March 23, 2016

    The Pittsburgh Health Data Alliance announced that it will begin working on apps to help prevent falls, share medication lists, and reduce hospital-acquired ulcers.

    UPMC Enterprises said it will allocate more than $3 million over the next six months to fund the first half-dozen projects under the Pittsburgh Health Data Alliance.

    Carnegie Mellon University and the University of Pittsburgh, partners in the Health Data Alliance with the University of Pittsburgh Medical Center, will use the funding to develop technologies for reducing patient falls, preventing pressure ulcers, improving the accuracy of cancer diagnoses and providing personalized treatment recommendations.

    The researchers will work on the Clinical Genomics Modeling Platform engine for creating precision medicine models that can be applied to diseases and populations.

    On the cancer front, the Health Data Alliance is looking to develop two technologies: a Tumor-specific Driver Identification System that delivers personalized genomic information to clinicians and Computations Pathology for Accurate Cancer Diagnosis to more effectively assess complex tumor images.

    The alliance will also work on a smartphone app called MEDIvate to enable patients to update and share medication lists with providers, the PUMP solution for reducing hospital-acquired pressure ulcers, and Fall Sentinel, which the organization described as a system to enable clinical pharmacists to monitor patients in nursing homes with an eye on drug-drug interactions that could cause falls.

    “This promising start bodes well for the alliance’s goal of transforming healthcare by unleashing the creativity and entrepreneurialism of leading scientists and clinicians in Pittsburgh,” UPMC Enterprises president Tal Heppenstall said in a statement.

    The Pittsburgh Data Alliance was formed in March of 2015.


    No comments

    Be the first one to leave a comment.

    Post a Comment



    Latest Posts

    Latest Video



    Nanoarray sniffs out and distinguishes multiple diseases

    SOURCE “Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules” ACS Nano Before modern…

    Cardiac stem cell infusion could be effective therapy for the most common type of heart failure

    SOURCE Cardiac stem cells could be an effective treatment for a common but difficult-to-treat type of heart failure, a new…

    Outer layer of human heart regrown using stem cells

    Human stem cells have been used to regenerate the cells that cover the external surface of a human heart(Credit: DarioStudios/Depositphotos) SOURCE…

    Gastrogenomic delights: A movable feast

    SOURCE The complete genome sequences of Escherichia coli and Helicobacter pylori provide insights into the biology of these species Recently,…

    Glaucoma gene therapy on positive trajectory using CRISPR-Cas9

    SOURCE May 02, 2016 Seattle—Results from a series of preclinical studies are providing proof of principle that gene targeting using…

    Mark Bertolini: The new definition of Quality in Healthcare is Convenience

      “… in studying the healthcare system we know one thing: the cheapest place to provide care is in the…

    Gentle Bot: 3D printing a robot with feelings

      3D printing is enabling strong advances in the field of soft robotics. New research from Cornell University has created robotic hands…

    Multiregional brain on a chip

     SOURCE (Nanowerk News) Harvard University researchers have developed a multiregional brain-on-a-chip that models the connectivity between three distinct regions of…